DEA-IDS: Drift-Aware Feature Selection and Few-Shot Adaptation for Cross-Domain IoT-IoMT Intrusion Detection.
- DOI
- 10.3390/s26196200
- Published
- 2026 Sep 30
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s26196200,
title = {DEA-IDS: Drift-Aware Feature Selection and Few-Shot Adaptation for Cross-Domain IoT-IoMT Intrusion Detection.},
author = {Günay B and Yağcı MY},
year = {2026},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s26196200},
url = {https://doi.org/10.3390/s26196200}
}RIS
TY - JOUR TI - DEA-IDS: Drift-Aware Feature Selection and Few-Shot Adaptation for Cross-Domain IoT-IoMT Intrusion Detection. AU - Günay B AU - Yağcı MY PY - 2026 JO - Sensors (Basel, Switzerland) DO - 10.3390/s26196200 UR - https://doi.org/10.3390/s26196200 ER -
APA
B, G., & MY, Y. (2026). DEA-IDS: Drift-Aware Feature Selection and Few-Shot Adaptation for Cross-Domain IoT-IoMT Intrusion Detection.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26196200
Source records
- pubmed · retrieved 2026-11-10T07:08:49.061Z